CN113674442B - Non-inductive passing method, device, electronic device and computer-readable storage medium - Google Patents

Abstract

The present disclosure provides a non-inductive pass method, apparatus, electronic device, and computer-readable storage medium. The non-inductive passing method comprises the following steps: the image acquisition equipment acquires an image of a target vehicle to obtain an image of the target vehicle; an image processing device performs image processing on the target vehicle image to obtain vehicle characteristic information of the target vehicle; the fee deduction equipment determines fee-related information and fee deduction channels of the target vehicle according to the vehicle characteristic information; the fee deduction equipment determines the fee to be paid of the target vehicle according to the fee-related information; the fee deducting equipment automatically deducts fees from the target vehicle through the fee deducting channel according to the to-be-paid fee; and if the target vehicle is determined to be successfully deducted, the target vehicle passes through a non-inductive passing outlet without a toll bar. According to the technical scheme provided by the embodiment, the vehicles can be guaranteed not to pass through the non-inductive passing outlet in a decelerating manner, so that the congestion at the passing outlet position is reduced.

Description

Non-inductive passing method, device, electronic device and computer-readable storage medium

technical field

The present disclosure relates to the technical field of computers and the Internet, and in particular to a method and device for non-inductive passing, electronic equipment, and a computer-readable storage medium.

Background technique

The current highway toll schemes are based on electronic tags, and based on face and license plate recognition. Among them, based on the electronic tag method, the vehicle needs to install the tag in advance, and the toll will be charged at the checkpoint of the toll station. Therefore, the vehicle needs to slow down and pass through, and lift the pole to pass after the toll is successfully deducted. Based on the method of face recognition, if the driver is changed due to reasons such as a driver's rest on the way, it will lead to abnormal deductions.

During the high-speed driving of the vehicle, the face recognition of the driver inside the vehicle is likely to fail due to problems such as poor accuracy. Especially at night, face recognition is difficult to use due to the influence of headlights. Based on the scheme of the license plate recognition method, no solution has been proposed for the vehicles whose recognition fails, the deduction is unsuccessful or the vehicle is unwilling to accept the non-inductive deduction method.

Therefore, it is urgent to invent a kind of non-inductive deduction guide scheme that cancels the expressway toll bar.

It should be noted that the information disclosed in the above background technology section is only for enhancing the understanding of the background of the present disclosure.

Contents of the invention

The purpose of the present disclosure is to provide a non-inductive passing method, device, electronic device and computer-readable storage medium, which can allow the target vehicle to pass through the non-inductive passing exit while successfully deducting the toll for the target vehicle.

Other features and advantages of the present disclosure will become apparent from the following detailed description, or in part, be learned by practice of the present disclosure.

An embodiment of the present disclosure provides a non-inductive passing method, including: an image acquisition device collects an image of a target vehicle to obtain an image of the target vehicle; an image processing device performs image processing on the image of the target vehicle to obtain an image of the target vehicle vehicle characteristic information; the fee deduction device determines the fee-related information and fee-deduction channel of the target vehicle according to the vehicle characteristic information; the fee deduction device determines the to-be-paid fee of the target vehicle according to the fee-related information; the The toll deduction device automatically deducts the toll from the target vehicle through the toll deduction channel according to the toll to be paid; if it is determined that the toll deduction of the target vehicle is successful, the target vehicle passes through the non-inductive exit without a toll pole.

In some embodiments, the toll deduction channels include electronic non-stop charging ETC toll collection channels and target toll collection channels, and the vehicle characteristic information includes non-inductive traffic information; Fees are automatically deducted from the target vehicle through the deduction channel, including: the deduction device automatically deducts the target vehicle through the electronic non-stop toll ETC deduction channel according to the fee to be paid ; If the deduction of the target vehicle fails through the electronic non-stop charging ETC deduction channel, the deduction device determines the target deduction channel provided by the target vehicle according to the non-sensing traffic information; The toll deduction device automatically deducts tolls from the target vehicle through the target toll deduction channel according to the toll to be paid.

In some embodiments, the method further includes: determining that the target vehicle fails to pay the toll, guiding the target vehicle to the target toll lane through at least one guide screen so that the target vehicle can pay the toll; or, according to the The vehicle feature information includes the target vehicle in the abnormal list, so that the target vehicle can make up the payment of fees.

In some embodiments, the vehicle feature information is acquired by the image acquisition device at a position at a first distance from the non-inductive traffic exit, and the at least one guide screen includes a target guide screen; wherein, through at least one The guide screen guides the target vehicle to the target toll lane with a pole so that the target vehicle can pay the toll, including: determining the target position information at the second distance between the target vehicle and the non-inductive traffic exit; The position information determines the target lane where the target vehicle is at a second distance from the non-inductive traffic exit, and the second distance is smaller than the first distance; through the target guidance on the target lane The screen guides the target vehicle.

In some embodiments, determining the target position information at a position at a second distance from the target vehicle to the non-inductive traffic exit includes: acquiring position information and vehicle speed of the target vehicle at the position at the first distance information, headway information; through the position prediction neural network, the position information, vehicle speed information, and headway information of the target vehicle at the first distance position are processed to determine that the target vehicle is at the second distance The target location information at the location.

In some embodiments, the image of the target vehicle includes at least two images of the vehicle, and each image of the target vehicle is collected at a corresponding target moment; wherein, the vehicle speed information of the target vehicle at the first distance position is acquired , including: acquiring the image position information of the target vehicle in each target vehicle image; determining the actual position information of the target vehicle at each target moment according to the image position information of the target vehicle in each target vehicle image; The actual position information of the target vehicle at each target moment determines the vehicle speed information of the target vehicle at the first distance position.

In some embodiments, the actual position information is used to describe the actual distance of the target vehicle from the non-sensing exit; wherein, the target vehicle is determined according to the actual position information of the target vehicle at each target moment The vehicle speed information at the first distance position includes: obtaining lane information of the target vehicle in each target vehicle image; determining according to the actual position information of the target vehicle at each target moment and the lane information Vehicle speed scalar information and vehicle speed vector information of the target vehicle at the first distance position; determining that the target vehicle is at the first distance position according to the vehicle speed scalar information and the vehicle speed vector information vehicle speed information.

An embodiment of the present disclosure provides a senseless passage system, including: an image acquisition device, a fee deduction device, a senseless passage control device, and at least one guide screen.

Wherein, the image acquisition device is set at a position at the first distance from the non-sensing traffic exit, and is used for image acquisition of the target vehicle to obtain an image of the target vehicle, and to perform image processing on the image of the target vehicle to obtain an image of the target vehicle. Vehicle characteristic information.

The toll deduction device is set at a position at the first distance from the non-inductive passage exit, and is used to determine the toll-related information and the toll-deducting channel of the target vehicle according to the vehicle characteristic information; Determine the toll to be paid of the target vehicle; and also be used to automatically deduct tolls from the target vehicle through the toll deduction channel according to the toll to be paid.

The non-inductive traffic control device is used to determine that the target vehicle has successfully deducted the toll, and then the target vehicle passes through the non-inductive traffic exit without toll poles.

At least one guide screen, arranged between the non-sensing traffic exit and a position at a second distance from the non-sensing traffic exit, used to guide the non-sensing traffic control device when the target vehicle fails to pay the toll. The target vehicle goes to the target toll lane with a pole so that the target vehicle can pay the toll.

The non-inductive traffic control device is also used to: when the target vehicle fails to pay the toll through the toll deduction device and the target vehicle does not pay the toll through the toll lane with a pole, according to the vehicle characteristic information, The target vehicle is included in the abnormal list, so that the target vehicle can carry out the supplementary payment of expenses.

An embodiment of the present disclosure proposes an electronic device, which includes: one or more processors; a storage device for storing one or more programs, when the one or more programs are processed by the one or more The processor is executed, so that the one or more processors implement the non-sensory passing method described in any one of the above.

An embodiment of the present disclosure provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the non-sensing passing method as described in any one of the foregoing is implemented.

An embodiment of the present disclosure provides a computer program product or computer program, where the computer program product or computer program includes computer instructions, and the computer instructions are stored in a computer-readable storage medium. The processor of the computer device reads the computer instruction from the computer-readable storage medium, and the processor executes the computer instruction, so that the computer device executes the above-mentioned non-sensing passing method.

The non-inductive passing method, device, electronic equipment, and computer-readable storage medium provided by the embodiments of the present disclosure, on the one hand, realize accurate and convenient deduction of the target vehicle through the joint operation of the image processing equipment and the deduction equipment; On the other hand, while completing the deduction of the target vehicle, it also enables the target vehicle to pass through the non-sensing exit, increasing the speed of the target vehicle, thereby avoiding the congestion at the non-sensing exit.

It is to be understood that both the foregoing general description and the following detailed description are exemplary only and are not restrictive of the present disclosure.

Description of drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description serve to explain the principles of the disclosure. Apparently, the drawings in the following description are only some embodiments of the present disclosure, and those skilled in the art can obtain other drawings according to these drawings without creative efforts.

Fig. 1 shows a schematic diagram of a sensorless passing system according to an exemplary embodiment.

Fig. 2 is a flow chart of a method for non-inductive passing according to an exemplary embodiment.

Fig. 3 is a flow chart of a method for non-inductive passing according to an exemplary embodiment.

Fig. 4 is a flowchart of a vehicle guidance method according to an exemplary embodiment.

Fig. 5 is a flow chart of a method for determining target position information of a target vehicle according to an exemplary embodiment.

Fig. 6 is a flow chart of a method for non-inductive passing according to an exemplary embodiment.

FIG. 7 is a flowchart of step S614 in FIG. 6 in an exemplary embodiment.

FIG. 8 is a flowchart of step S616 in FIG. 6 in an exemplary embodiment.

FIG. 9 shows a schematic structural diagram of an electronic device suitable for implementing the embodiments of the present disclosure.

Detailed ways

Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The same reference numerals denote the same or similar parts in the drawings, and thus their repeated descriptions will be omitted.

The features, structures, or characteristics described in this disclosure may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided in order to give a thorough understanding of embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure may be practiced without one or more of the specific details, or other methods, components, devices, steps, etc. may be adopted. In other instances, well-known methods, apparatus, implementations, or operations have not been shown or described in detail to avoid obscuring aspects of the present disclosure.

The drawings are merely schematic illustrations of the present disclosure, and the same reference numerals in the drawings denote the same or similar parts, and thus repeated descriptions thereof will be omitted. Some of the block diagrams shown in the drawings do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in software, or in one or more hardware modules or integrated circuits, or in different network and/or processor means and/or microcontroller means.

The flow charts shown in the drawings are just exemplary illustrations, not necessarily including all contents and steps, and not necessarily executing in the order described. For example, some steps can be decomposed, and some steps can be combined or partly combined, so the actual execution sequence may be changed according to the actual situation.

In this specification, the terms "a", "an", "the", "said" and "at least one" are used to indicate the presence of one or more elements/components/etc.; the terms "comprising", "including" and "Having" is used to indicate an open-ended inclusive meaning and means that there may be additional elements/components/etc. in addition to the listed elements/components/etc.; the terms "first", "second " and "Third" etc. are used only as marks, not as restrictions on the number of their objects.

Exemplary implementations of the present disclosure will be described in detail below in conjunction with the accompanying drawings.

Fig. 1 shows a schematic diagram of a sensorless passing system according to an exemplary embodiment.

In some embodiments, the sensorless communication system may include: an image acquisition device (such as the camera shown in FIG. 1), at least one guidance screen (such as the guidance redundancy system in Figure 1).

Wherein, the image acquisition device can be set at a position at the first distance from the non-sensing traffic exit, and is used for image acquisition of the target vehicle to obtain an image of the target vehicle, and to perform image processing on the image of the target vehicle to obtain the target vehicle vehicle characteristic information.

The image acquisition device may be any device capable of image acquisition, such as the camera shown in FIG. 1 , which is not limited in the present disclosure.

The first distance position can be, for example, a position 200-400 meters away from the non-inductive passage exit, and those skilled in the art can set it according to actual needs.

The toll deduction device is set at a position at the first distance from the non-inductive passage exit, and is used to determine the toll-related information and the toll-deducting channel of the target vehicle according to the vehicle characteristic information; Determine the toll to be paid of the target vehicle; and also be used to automatically deduct tolls from the target vehicle through the toll deduction channel according to the toll to be paid.

Wherein, the deduction device may be a device that can be used for deduction, such as a charging device corresponding to the electronic toll collection system ETC, a charging device corresponding to a bank card, or a payment device corresponding to a third-party payment software (such as a certain treasure, a certain letter), etc., this disclosure does not limit this.

The non-inductive traffic control device is used to determine that the target vehicle has successfully deducted the toll, and then the target vehicle passes through the non-inductive traffic exit without toll poles.

The sensorless traffic control device may be a device for general control of the sensorless traffic system, and the sensorless traffic device may be a computer, notebook, server, etc., which is not limited in the present disclosure.

It can be understood that the functions corresponding to the above-mentioned sensorless traffic control device, toll deduction device, and image acquisition device can be integrated on the same device or completed on different devices, which is not limited in the present disclosure.

At least one guide screen, arranged between the non-sensing traffic exit and a position at a second distance from the non-sensing traffic exit, used to guide the non-sensing traffic control device when the target vehicle fails to pay the toll. The target vehicle goes to the target toll lane with a pole so that the target vehicle can pay the toll.

In some embodiments, under the joint operation of image processing equipment and fee deduction equipment, the accurate and convenient deduction of the target vehicle is realized; on the other hand, while the deduction of the target vehicle is completed, the target vehicle can Through the non-sensing exit, the speed of the target vehicle is increased, thereby avoiding the congestion at the non-sensing exit.

The above-mentioned guide screen can be an LED screen, an LCD screen, etc. Any screen that can guide the vehicle can be the above-mentioned guide screen, which is not limited in the present disclosure.

In some embodiments, the second distance location may be located between the pass-through exit and the first distance location.

The non-inductive traffic control device can also be used to transfer the toll according to the vehicle characteristic information when the target vehicle fails to pay the toll through the toll deduction device and the target vehicle does not pay the toll through the toll lane with a pole. The above-mentioned target vehicle is included in the abnormal list, so that the above-mentioned target vehicle can carry out the supplementary payment of fees.

In some embodiments, the above-mentioned sensorless passing system can be applied in front of expressway toll stations to complete the toll payment operation of vehicles on the expressway.

As shown in Figure 1, an image acquisition device can be installed on the specific detection road section S1 at the first distance before the vehicle leaves the toll booth (ie, the non-inductive traffic exit), such as 600-800 meters in advance, and then use the image acquisition device to detect The vehicle collects information. The above-mentioned image acquisition equipment includes acquisition equipment such as a camera, a capture machine, and a microwave.

In some embodiments, a toll deduction device can be installed on a specific toll section (for example, at the first distance from the non-inductive communication exit) before the vehicle exits the toll booth (that is, the non-inductive traffic exit), such as 600-800 meters in advance . The device can be installed on the same gantry or L-frame as the above-mentioned image acquisition device.

In some embodiments, image acquisition equipment and toll deduction equipment can be installed in advance before the toll booth, because if the inductive toll deduction is unsuccessful, manual payment can be made in certain lanes at the toll booth.

In some embodiments, an auxiliary image can be installed on a specific detection section in front of the image acquisition device, such as the roadside or the door frame, L frame, etc. 100 meters, 200 meters, 300 meters, 400 meters, etc. in front of the image acquisition device. Acquisition equipment, including cameras, capture machines and other equipment. The purpose of installing the auxiliary image device is to prevent the image acquisition device at the S1 position (that is, the first distance position) from detecting the license plate information. It can be considered to use the license plate and vehicle characteristic information in the previous paragraph to complete and increase the applicability of the system.

In some embodiments, at least one guidance screen (such as an electronic screen) can be installed at a specific guidance road section before the vehicle exits the toll booth, such as 20-30 meters after the toll is deducted, such as the guidance system and guidance redundancy in Figure 1 system, the at least one guide screen may be distributed on different lanes, and each lane may be distributed with a guide screen at a certain distance, which is not limited in the present disclosure.

In the present disclosure, multi-level guide screens can be installed, in case the driver does not pay attention to one guide. The guidance equipment is installed at a certain distance after the fee is deducted because it takes time for the non-inductive traffic control equipment to calculate and issue instructions, and the misplaced installation can solve the problem of time difference.

Fig. 2 is a flow chart of a method for non-inductive passing according to an exemplary embodiment.

The non-inductive traffic technical solution provided by this disclosure can be applied to any intersection that needs toll collection operations, such as toll intersections on expressways, toll gates in parking lots, etc. This disclosure will take expressway toll gates as an example for illustration, but this disclosure It is not limited to this.

Before implementing the technical solutions provided by the present disclosure, it is necessary to collect vehicle entry information. That is, vehicle information can be collected at the entrance of the expressway, including license plate, vehicle entry station, vehicle type and other fee-related information, as well as vehicle color, practice mark, annual inspection mark and other vehicle characteristic information. The collection method can be traditional manual method, lens shooting method and so on.

Referring to FIG. 2 , the non-inductive passing method provided by the embodiment of the present disclosure may include the following steps.

Step S202, the image acquisition device performs image acquisition on the target vehicle to obtain an image of the target vehicle.

In some embodiments, an image acquisition device may be installed at a position at a first distance from the non-sensing exit, so as to perform image acquisition on the target vehicle and obtain an image of the target vehicle.

For example, before the vehicle drives out of the toll booth (a kind of non-inductive traffic exit), a specific image detection road section can be used, such as 600-800 meters in front of the toll booth, and image acquisition equipment can be used to collect information from the vehicle. Wherein, the image acquisition device may include a camera, a capture machine and other devices.

In step S204, the image processing device performs image processing on the image of the target vehicle to obtain vehicle feature information of the target vehicle.

In some embodiments, an algorithm such as difference between frames may be used to extract key frames containing vehicle information. Then feature extraction is performed on the target vehicle in the key frame to determine the vehicle feature information of the target vehicle.

It should be noted that the above-mentioned target vehicle does not specifically refer to a certain vehicle, and any vehicle identified in the key frame can be the target vehicle.

In some embodiments, a multi-dimensional information recognition method may be used to perform image processing on the target vehicle image, so as to recognize vehicle static information (ie, vehicle feature information) on key frames.

The above-mentioned vehicle feature information may include information such as license plate, vehicle model, vehicle color, practice mark, annual inspection mark, etc., which is not limited in the present disclosure.

Step S206, the toll deduction device determines the toll-related information and toll-deduction channel of the target vehicle according to the vehicle feature information.

In some embodiments, after the image acquisition device determines the vehicle characteristic information of the target vehicle, it can further determine the pre-set deduction channel of the target vehicle according to the vehicle characteristic information, and the deduction channel can be, for example, ETC deduction This disclosure does not limit this channel, a bank deduction channel, or a third-party payment software deduction channel.

Step S208, the toll deduction device determines the toll to be paid of the target vehicle according to the toll-related information.

In some embodiments, the above-mentioned vehicle feature information may include license plate, vehicle type and other fee-related information, and the toll deduction device may determine the entry station of the target vehicle according to the license plate and vehicle model, and then according to the license plate, vehicle model, and entry station and other fee-related information Determine pending charges for the target vehicle.

Step S210, the toll deduction device automatically deducts a toll from the target vehicle through the toll deduction channel according to the toll to be paid.

In some embodiments, the vehicle characteristic information of the target vehicle may also include information on uninvited passage, which may be an agreement on uninvited passage agreed by the target vehicle in advance. The content of the agreement on the non-sensing pass may also include the information on the deduction channel for the non-sensing pass provided by the target vehicle.

The deduction channels provided by the target vehicle may include ETC deduction channels for electronic non-stop charging, and may also include target deduction channels. The target deduction channels may include other deduction channels other than non-ETC deduction channels, such as a bank deduction Channel, a deduction channel of a third-party payment application software, which is not limited in this disclosure.

In some embodiments, the toll deduction device may call the toll channel interface of the toll deduction channel corresponding to the target vehicle to deduct the toll from the vehicle. For example, the toll deduction device can automatically deduct fees from the target vehicle through the electronic non-stop toll ETC deduction channel according to the fees to be paid; The traffic information determines the target toll deduction channel provided by the target vehicle; the toll deduction device automatically deducts the toll from the target vehicle through the target toll deduction channel according to the fees to be paid.

For example, if the target vehicle is equipped with ETC, the deduction device can directly complete the deduction operation through the ETC deduction system. The interface of the bank's charging channel, which deducts the fee for the vehicle.

In step S212, it is determined that the toll deduction of the target vehicle is successful, and then the target vehicle passes through the non-inductive exit without toll poles.

In some embodiments, if the toll deduction is successful for the target vehicle, a short message is sent to the target vehicle, prompting that the toll deduction is successful, and the vehicle can quickly pass through the designated poleless lane.

The traditional high-speed toll collection method requires vehicles to stop at the toll booth, and there are often long queues in front of the high-speed toll booth, causing road congestion, especially during peak travel periods during holidays. Even with ETC charges, car owners still have to slow down and pass. Through the technical solution provided by this disclosure, when the target vehicle enters the toll detection road section with a certain distance before the high-speed toll station, the system automatically completes the vehicle number plate recognition, inductive deduction of tolls, and completely cancels the toll poles at some bayonets. Guide the passage of vehicles that fail to deduct fees; vehicles that successfully deduct fees pass through the designated poleless lane without slowing down to pass the toll booth, which greatly improves the traffic efficiency and reduces congestion, which has great social value.

The purpose of the present invention is to provide an expressway non-inductive toll deduction guidance scheme. The purpose is to cancel the lane toll pole, reduce the failure of deduction due to identification failure and other reasons, vehicles can pass through the toll station without slowing down, improve traffic efficiency, reduce congestion, and mobilize people's enthusiasm for travel.

In some embodiments, when the toll deduction device deducts the toll from the target vehicle through the toll deduction channel, the toll deduction may fail due to network abnormalities, abnormal toll deduction accounts, and other reasons. In view of situations such as failure of automatic fee deduction, this embodiment proposes another non-inductive passing scheme.

Fig. 3 is a flow chart of a method for non-inductive passing according to an exemplary embodiment.

Referring to FIG. 3 , the non-inductive passing method provided in this embodiment may include the following steps.

Step S302, the image acquisition device performs image acquisition on the target vehicle to obtain an image of the target vehicle.

In step S304, the image processing device performs image processing on the image of the target vehicle to obtain vehicle characteristic information of the target vehicle.

Step S306, the toll deduction device determines the toll-related information and toll-deduction channel of the target vehicle according to the vehicle characteristic information.

Step S308, the toll deduction device determines the toll to be paid of the target vehicle according to the toll-related information.

Step S310, the toll deduction device automatically deducts a toll from the target vehicle through the toll deduction channel according to the toll to be paid.

In some embodiments, the toll deduction channel corresponding to the target vehicle includes an ETC toll deduction channel and a target toll deduction channel, and the vehicle characteristic information includes non-inductive traffic information; The fee payment is automatically deducted from the target vehicle through the deduction channel, including: the deduction device automatically deducts the target vehicle through the electronic non-stop charging ETC deduction channel according to the fee to be paid If the deduction of the target vehicle fails through the electronic non-stop charging ETC deduction channel, the deduction device determines the target deduction channel provided by the target vehicle according to the non-inductive traffic information; The toll deduction device automatically deducts tolls from the target vehicle through the target toll deduction channel according to the toll to be paid.

In some embodiments, according to the static information of the vehicle, for a vehicle with ETC equipment, the ETC mast can be used to deduct fees; for a vehicle without ETC equipment, if the vehicle has agreed in advance on the APP or official website and other channels According to the agreement, the fee will be deducted in the designated payment channel according to the agreement.

In step S312, it is determined that the toll deduction of the target vehicle is successful, and then the target vehicle passes through the non-inductive exit without toll poles.

For the target vehicle whose toll is successfully deducted, it can enter the non-inductive pass link. That is to say, the target vehicle can directly pass through the non-inductive exit without toll pole.

Step S314, determining that the target vehicle fails to pay the toll, and guide the target vehicle to the target toll lane through at least one guide screen so that the target vehicle can pay the toll.

For vehicles that do not have ETC and do not agree to non-inductive deduction, you can enter the vehicle guidance step. That is, for vehicles whose deduction fails, guide the vehicle to the designated manual toll gate through the guidance screen for payment. Since there is a time difference when the vehicle recognizes the push information, it is necessary to predict the vehicle position at the push time point to ensure that the vehicle can see the guidance information.

In step S316, the target vehicle is included in the abnormal list according to the vehicle characteristic information, so that the target vehicle can make up the toll payment.

In some embodiments, if the deduction device fails to deduce the target vehicle (it may be caused by network abnormality or insufficient account balance, the present disclosure does not limit the reason for the deduction failure) and the target vehicle is not in the target vehicle. If the toll lane is to be paid additionally (such as paying at a manual toll window), the target vehicle will be included in the abnormal list according to the vehicle characteristic information, so that the target vehicle can perform additional toll payment.

In some embodiments, if the toll deduction device cannot check the toll deduction status due to network abnormalities and other reasons, the vehicle can drive out of the expressway through the poleless lane, and the system will later notify the driver in the form of a text message whether to pay the toll.

In some other embodiments, the system includes the vehicle in the abnormal list for the unsuccessful deduction of the toll, but the vehicle has taken the poleless lane, and the vehicle can pay the toll by itself on the app or official website and other channels afterwards. Or pay the toll at the high-speed entrance next time.

To sum up, the present disclosure provides an expressway non-inductive toll deduction guidance scheme. This program performs non-inductive deduction and guidance on the vehicle on a specific detection section before the vehicle leaves the toll station. A vehicle prediction and guidance scheme based on dynamic prediction of behavior characteristics is proposed, and the vehicle that fails to deduct the fee is guided. Vehicles with successful deduction can pass through the toll booth without slowing down, so as to improve traffic efficiency and reduce congestion.

Fig. 4 is a flowchart of a vehicle guidance method according to an exemplary embodiment.

In some embodiments, the vehicle feature information of the target vehicle is acquired by the image acquisition device at a position at a first distance from the non-sensing exit, and the at least one guide screen includes a target guide screen.

In some embodiments, at least one guide screen can be installed on the road to guide the target vehicle.

However, it will take a certain amount of time (assuming the certain time is the target time difference) from the deduction device to complete the deduction to sending the guidance information to the guidance screen, and the target vehicle may have traveled a certain distance during this period. Then the position of the target vehicle at that time is the target position information, and the distance from the target position information to the non-sensing exit is the second distance position.

It can be understood that the speeds of different vehicles at the first distance position may be different, so after the same time difference has passed, the second distance positions corresponding to the different vehicles may also be different.

Referring to FIG. 4 , the above vehicle guidance method may include the following steps.

Step S402, determining target position information at a position at a second distance from the target vehicle to the non-sensing exit.

In some embodiments, the speed of the target vehicle at the first distance position can also be determined according to the image of the target vehicle collected by the image acquisition device, assuming that the target vehicle moves along a straight line within the target time difference, and then the speed of the target vehicle is determined according to the target time difference The traveling distance, and then determine the target position information of the target vehicle after the target time difference ends according to the traveling distance of the target vehicle within the target time difference.

In some embodiments, some methods can be used to predict the target position information of the target vehicle after the target time difference, for example, the trained neural network can be used to predict the target position information of the target vehicle after the target time difference.

For vehicles that do not accept the non-inductive fee deduction agreement or the deduction is unsuccessful, the vehicle needs to be guided to the designated manual toll gate. When the vehicle is driving at high speed on the expressway, there is a time difference from the recognition of the vehicle to the display of the guidance information to the driver. At this time, the vehicle has traveled a certain distance. In order to ensure that the vehicle can see the information on the guidance screen, it is necessary to determine where the vehicle is driving. lane, and push the corresponding information to the guidance screen of the lane.

Step S404, determining the target lane where the target vehicle is at a second distance from the non-sensing exit according to the target position information, the second distance being smaller than the first distance.

In some embodiments, in order to prevent the target vehicle from seeing the guidance information and improve the success rate of guidance, a guidance screen can be placed on the lane where the target vehicle is located to guide the target vehicle. Therefore, the guidance information can be sent to the target lane where the target vehicle is located to complete the guidance of the target vehicle.

Step S406, guiding the target vehicle through the target guidance screen on the target lane.

In some embodiments, a target guide screen can be set at intervals on the target lane to guide the target vehicle to the designated lane for toll collection through the manual toll window.

In some embodiments, the target vehicle may change lanes multiple times at the second distance position to the non-inductive traffic exit. In order to guide the target vehicle more accurately and efficiently, a certain distance before each target guidance screen can be An image acquisition device is installed inside, and then the lane where the target vehicle is located is determined according to the image information collected by the image acquisition device, so as to further determine and send the guidance information to the guidance screen on that lane according to the lane where the target vehicle is located.

Fig. 5 is a flow chart of a method for determining target position information of a target vehicle according to an exemplary embodiment.

In some embodiments, the target vehicle image includes at least two vehicle images, and each target vehicle image is collected at a corresponding target moment.

Step S502, acquiring image position information of the target vehicle in each target vehicle image.

Step S504, according to the image position information of the target vehicle in each target vehicle image, determine the actual position information of the target vehicle at each target time.

In some embodiments, the target vehicle can be accurately determined in the target vehicle image according to the above image position information.

In some embodiments, the trained neural network may be used to process the vehicles in each target vehicle image to determine the actual position information of the target vehicle at each target moment. The actual position information may refer to the position information determined by the longitudinal distance of the target vehicle from the non-inductive communication exit, or the actual position determined by the longitudinal distance of the target vehicle from the non-inductive communication exit and the corresponding lateral distance of the lane where the target vehicle is located information, the present disclosure does not limit it.

For example, the neural network can be trained with vehicle images that know the actual distance between the vehicle and the image acquisition device and the specific position information of the vehicle in the image. Then, the trained neural network is used to process each target vehicle image, and the actual distance between the target vehicle and the image acquisition device at the target moment can be obtained.

In some other embodiments, the lane line recognition of each target vehicle image can also be performed to determine the lane position of each vehicle in each target vehicle image, and then determine the target lane where the target vehicle is located.

According to the actual distance between the target vehicle and the image acquisition device and the target lane where the target vehicle is located, the actual position information of the target vehicle can be determined.

Step S506, according to the actual position information of the target vehicle at each target time, determine the vehicle speed information of the target vehicle at the first distance position.

In some embodiments, the target vehicle image is a plurality of vehicle images collected by the image acquisition device at different times, and the target vehicle can be determined according to the actual position information of the target vehicle in each target vehicle image, combined with the acquisition time of each target vehicle image Vehicle speed information at a first distance location.

Step S508, acquiring position information, vehicle speed information, and headway information of the target vehicle at the first distance position.

In some embodiments, the headway may refer to the distance of the target vehicle from a vehicle preceding the target vehicle, which may be determined from an image of the target vehicle.

Step S510, process the position information, vehicle speed information, and headway information of the target vehicle at the first distance position through the position prediction neural network, so as to determine the position of the target vehicle at the second distance position The target location information.

In some real-time situations, the actual position information of the target vehicle can be used to describe the actual distance between the target vehicle and the non-inductive traffic exit, and then the corresponding target position information of the target vehicle can also be used to describe the distance between the target vehicle and the second distance The actual distance from the location to the sensorless communication exit.

Step S508, acquiring lane information of the target vehicle in each target vehicle image.

In some embodiments, the target vehicle and the corresponding ground marking information can be identified, and the lane where the vehicle is located at the time of vehicle identification can be judged.

Step S510, according to the actual position information of the target vehicle at each target time and the lane information, determine the vehicle speed scalar information and vehicle speed vector information of the target vehicle at the first distance position.

In some embodiments, it is assumed that the target vehicle image includes a first vehicle image and a second vehicle image, the target moment includes a first target moment and a second target moment, and the first vehicle image is at the first target moment collected, the second vehicle image is collected at the second target moment.

Then the vehicle speed scalar information of the target vehicle at the first distance position can be determined by the following method.

According to the actual position information of the target vehicle in the first vehicle image and the actual position information of the target vehicle in the second vehicle image, determine the longitudinal movement information of the target vehicle; according to the target vehicle Determine the lateral movement information of the target vehicle based on the lane information in the first vehicle image and the lane information of the target vehicle in the second vehicle image; determine a first target moment and a second target moment determining a target time difference; determining the vehicle speed scalar information of the target vehicle at the first distance position according to the longitudinal movement information, the lateral movement information, and the target time difference.

In some embodiments, the vehicle speed vector information of the target vehicle at the first distance position can be determined by the following method.

performing position interpolation for the target vehicle between the first vehicle image and the second vehicle image, to determine that the target vehicle has moved from the position of the target vehicle in the first vehicle image to the second vehicle image The second is the target moving track at the location of the target vehicle in the vehicle image; determining the vehicle speed vector information of the target vehicle at the first distance position according to the target moving track.

In fact, in order to ensure the authenticity of the trajectory, the image of the target vehicle can be interpolated in time order to determine the entire trajectory estimate of the target vehicle, and then determine the vehicle speed vector of the target vehicle at the first distance position information.

Step S512, determining vehicle speed information of the target vehicle at the first distance position according to the vehicle speed scalar information and the vehicle speed vector information.

The technical solutions provided by the embodiments of the present disclosure accurately and efficiently determine the vehicle speed information of the target vehicle at the first distance position.

Fig. 6 is a flow chart of a method for non-inductive passing according to an exemplary embodiment. Referring to Fig. 6, the above-mentioned non-inductive toll method may include the following steps.

Step S602, vehicle entry information collection.

Collect vehicle information at the entrance of the expressway, including license plate, vehicle entry station, vehicle type and other toll-related information, as well as vehicle color, practice bid, annual inspection bid and other vehicle characteristic information. The collection method can be traditional manual method, lens shooting method and so on. Establish the unique information identification ID of the vehicle. The ID is associated with the license plate number.

Define the vehicle ID as

In the formula, Vehi is a unique vehicle ID number, and i is an integer greater than or equal to 1. feej is the fee-related information of the vehicle, such as the deduction mark, vehicle entering the station, vehicle leaving the station, vehicle type, free car, etc., j is an integer greater than or equal to 1 and less than or equal to m1, and m1 is the number of fee-related information number. The fee _ID is the deduction identification information of the vehicle, such as the identification code of ETC, the deduction identification identification corresponds to the vehicle one by one, the deduction identification code can be empty, the vehicle enters the station fee1, and the vehicle exits the station fee2 is dynamic information Bit, the value of the vehicle leaving the station at the current moment is empty fee ₂ =Φ. attr _k is the characteristic information of the vehicle, license plate number, vehicle color, brand, model, practice standard, annual inspection standard, etc. k is an integer greater than or equal to 1 and less than or equal to m2, and m2 is the number of characteristic information, where attr _ID for the license plate number.

Step S604, collecting information on vehicle exit at the detection point.

Before the vehicle drives out of the toll station for a specific inspection section, such as 600-800 meters in advance, image acquisition equipment is used to collect information on the vehicle. Including cameras, capture machines, microwaves and other collection equipment. Set the exit station information of this station to k, where k is an integer greater than or equal to 1.

Step S606, key frame extraction of detection points.

Using algorithms such as frame difference, extract the key frames containing vehicle information from the continuous pictures collected by the camera, and eliminate the no-vehicle pictures and blurred pictures. Ω=(Veh ₁ ...Veh _k ), where Ω is a key frame, Veh _k represents the kth vehicle to be recognized in the key frame, and k is an integer greater than or equal to 1.

Step S608, identifying static vehicle information at the detection point.

Recognize the static information of the vehicle on the key frame, including license plate, vehicle entry station, vehicle type and other fee-related information, as well as vehicle characteristic information such as vehicle color, practice mark, and annual inspection mark.

This step needs to match the vehicle identification information with the vehicle driving information. That is, it is matched with the unique vehicle identifier established in step S602.

First of all, build a vehicle deduction front dynamic library

Collect vehicle traffic information in front of the sensorless collection device. Carry out multi-segment license plate recognition on the road section in front of the non-sensing collection device, match all the license plate information recognized by each segment of the camera with all the driving information in step S602, and store the successfully matched license plate ID into the front dynamic information database for vehicle deduction . If the same vehicle is captured by multiple cameras, the information base is only stored once. Create an information base as follows:

V _i =(Veh ₁ ...Veh _k ), k is an integer greater than or equal to 1.

Second, vehicle matching is established at the detection points.

Let the identified vehicle information be:

Set the threshold ε, then

in

The formula means that if the deduction ID or license plate ID can be identified, the vehicle can be identified as a certain vehicle in V _i . If the license plate and fee deduction ID cannot be recognized, the multi-dimensional information of the vehicle, such as vehicle color, brand, model, and internship logo, can also be used to match the vehicle.

Step S610, the vehicle does not feel the charge.

Deduct the fee for the vehicle, call the charging channel interface of the bank, WeChat, Alipay, etc., and deduct the fee for the vehicle.

According to the entry and exit information, and the vehicle type information, the vehicle will be deducted according to the expressway toll standard. Record vehicle driving and deduction information to the deduction information database.

Remove the vehicles that have been successfully deducted without induction and manually deducted from the dynamic library in front of vehicle deduction to improve the comparison speed and reduce system resources. The information base in step S602 remains unchanged.

Step S612, pass without induction.

The vehicle that has successfully deducted the toll will send a text message to the vehicle, prompting that the toll has been successfully deducted, and the vehicle can quickly pass through the designated poleless lane.

Step S614, vehicle guidance, for the vehicle whose fee deduction is unsuccessful, guide the vehicle to the designated manual toll gate through the guidance screen to pay the fee.

Step S616, exception handling.

For vehicles whose toll deduction is unsuccessful but have taken the poleless lane, the system will be included in the exception list, and the vehicle can pay the toll on the app or official website afterwards. Or pay the toll at the high-speed entrance next time.

For vehicles that do not accept the non-inductive traffic agreement or fail to deduct fees, vehicle guidance must be carried out to guide the vehicle to the designated toll gate to collect fees. When the vehicle is driving at high speed on the expressway, there is a time difference from the recognition of the vehicle to the display of the guidance information to the driver. At this time, the vehicle has traveled a certain distance. In order to ensure that the vehicle can see the information on the guidance screen, it is necessary to determine where the vehicle is driving. lane, and push the corresponding information to the guidance screen of the lane.

As shown in Figure 7, the vehicle guidance corresponding to step S614 may include the following steps:

Step S702, lane recognition.

Recognize the vehicle and the corresponding ground marking information, and judge the lane where the vehicle is at the time of vehicle recognition.

First, build a vehicle-guided front-end dynamic library

Collect vehicle traffic information in front of the vehicle guidance equipment. Carry out multi-segment license plate recognition on the road section in front of the vehicle guidance equipment, match all the license plate information recognized by each segment of the camera with all the driving information in step S01, and store the successfully matched license plate ID into the vehicle guidance front dynamic information database. If the same vehicle is captured by multiple cameras, the information base is only stored once. Create an information base as follows:

Ve _i =(Veh ₁ . . . Veh _k ), k is an integer greater than or equal to 1.

Second, vehicle-to-lane matching is established at each set of cameras at spaced locations.

Let the identified vehicle information be:

where lane _ji is the lane information of the vehicle.

Set the threshold δ, then

in

The formula means that if the license plate ID can be identified, the vehicle can be identified as a certain vehicle in V _i . If the license plate and fee deduction ID cannot be recognized, the multi-dimensional information of the vehicle can also be used to match the vehicle.

Step S704, vehicle dynamic information identification. According to the multi-frame information collected by the camera, including sight distance, time difference, etc., the vehicle's driving direction and speed are judged.

For a certain camera in the layout shown in Figure 1, assuming that the viewing distance is 100 meters, within this 100 meters, a certain vehicle passing by will be captured by several frames.

Assume that the information of a car that has been matched with information captured by a certain frame is as follows:

Where S _j is the viewing distance of the vehicle from the camera in the frame. The viewing distance can be calculated by algorithms such as SIFT (Scale-invariant feature transform, scale-invariant feature transform).

Again, calculate the speed and direction of the vehicle.

The scalar for velocity is:

Among them, t1 and t2 are the moments of two adjacent frames.

The velocity vector is:

In different frames, record the position xi, yi of the vehicle, use the cubic spline difference to calculate the vehicle trajectory, and the tangent direction of the vehicle’s trajectory is the direction of the velocity vector

Step S706, vehicle behavior prediction.

Predict the vehicle's driving trajectory and abnormal parking, retrograde and other behaviors according to the vehicle's driving direction and speed.

First, calculate the moment when the driver sees the guidance screen.

According to the speed of the vehicle, the current position of the vehicle, the relative position information of the guide screen and camera installation, the time required for the calculation of the prediction algorithm, and the time required for the signal to be sent to the guide screen, the distance between the moment when the driver sees the guide screen and the current moment (vehicle recognition time) is calculated Time difference.

Second, calculate the vehicle position at that moment.

ELM (Extreme Learning Machine, extreme learning machine) has the advantages of fast learning rate and high prediction accuracy, and is suitable for time series prediction. ELM can be used to build a model to calculate the location of the vehicle when the driver sees the guidance screen.

Because the vehicle is a conscious behavior, in the traditional ELM learning process, in addition to the vehicle position, the influencing factors of the behavior characteristics are added, including but not limited to the vehicle flow speed, the distance between the vehicles, the vehicle speed and other information

It is known that the information related to a certain vehicle ( _xi ,t _i )1≤i≤N, where x _i =[ _xi1 , _xi2 ,..., _xiM ] ^T ∈ R ^M is the vehicle information, t _i =[ t _i1 ,t _i2 ,…,t _in ] ^T ∈ R ⁿ is time information.

x _i1 , respectively, are vehicle positions, x _i2 ,..., x _iM are behavioral characteristics influencing factors such as vehicle flow speed, head distance, vehicle speed, etc., M is an integer greater than or equal to 1, and M represents the number of characteristic influencing factors.

The improved ELM algorithm based on behavior characteristics is used to dynamically predict the vehicle position at the moment when the driver sees the guidance screen to obtain (x _i1M+1 , t _in+1 ).

Again, match the lane to which the location belongs.

After coordinate matching, match the location where the driver sees the guidance screen to the lane to which they belong.

Finally, it can judge the abnormal information and give a system prompt.

In the event of a vehicle traveling in the wrong direction, abnormal parking, etc.

Step S708, guiding the vehicle to the designated lane.

Display the vehicle guidance information on the specific guidance screen, and guide the specific vehicle to the designated manual charging window for charging.

As shown in Figure 8, the exception handling corresponding to step S616 may include the following steps:

The deduction module sends the information of whether the deduction is successful to the exception processing module. If the deduction is successful, it will send a short message of the deduction success to the driver, and the driver can drive out of the expressway through the poleless lane; if the network is abnormal and other reasons If the deduction status cannot be checked, the vehicle can drive out of the expressway through the poleless lane, and the system will notify the driver in the form of a text message whether to pay the toll; if the deduction fails, the system will send guidance information to the guidance screen, and the driver will enter Pay at the designated manual toll window; if the deduction is wrong, the system will send guidance information to the guidance screen, and the driver will drive into the designated manual toll window to pay. If the driver mistakenly drives into the non-sensing lane, the system will save the list of abnormalities and wait until the payment is made Cancel exception.

The above embodiment is only used to illustrate the technical solution of the present invention, but not to limit it; for example, this solution describes the toll scene of a single expressway toll station. According to the description of this embodiment, the solution can be applied to a plurality of toll stations to work together The following non-inductive traffic situation.

The flowchart and block diagrams in the Figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in a flowchart or block diagram may represent a module, program segment, or portion of code that includes one or more logical functions for implementing specified executable instructions. It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or they may sometimes be executed in the reverse order, depending upon the functionality involved. It should also be noted that each block in the block diagrams or flowchart illustrations, and combinations of blocks in the block diagrams or flowchart illustrations, can be implemented by a dedicated hardware-based system that performs the specified function or operation, or can be implemented by a A combination of dedicated hardware and computer instructions.

In addition, the above-mentioned drawings are only schematic illustrations of processes included in the method according to the exemplary embodiments of the present disclosure, and are not intended to be limiting. It is easy to understand that the processes shown in the above figures do not imply or limit the chronological order of these processes. In addition, it is also easy to understand that these processes may be executed synchronously or asynchronously in multiple modules, for example.

Fig. 9 shows a schematic structural diagram of an electronic device suitable for implementing a terminal device or a server according to an embodiment of the present disclosure. It should be noted that the electronic device 900 shown in FIG. 9 is only an example, and should not limit the functions and application scope of the embodiments of the present disclosure.

As shown in FIG. 9 , an electronic device 900 includes a central processing unit (CPU) 901, which can operate according to a program stored in a read-only memory (ROM) 902 or a program loaded from a storage section 908 into a random access memory (RAM) 903 Instead, various appropriate actions and processes are performed. In the RAM 903, various programs and data necessary for the operation of the electronic device 900 are also stored. The CPU 901 , ROM 902 , and RAM 903 are connected to each other via a bus 904 . An input/output (I/O) interface 905 is also connected to the bus 904 .

The following components are connected to the I/O interface 905: an input section 906 including a keyboard, a mouse, etc.; an output section 907 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker; a storage section 908 including a hard disk, etc. and a communication section 909 including a network interface card such as a LAN card, a modem, or the like. The communication section 909 performs communication processing via a network such as the Internet. A drive 910 is also connected to the I/O interface 905 as needed. A removable medium 911 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc. is mounted on the drive 910 as necessary so that a computer program read therefrom is installed into the storage section 908 as necessary.

In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, the embodiments of the present disclosure include a computer program product, which includes a computer program carried on a computer-readable storage medium, where the computer program includes program codes for executing the methods shown in the flowcharts. In such an embodiment, the computer program may be downloaded and installed from a network via communication portion 909 and/or installed from removable media 911 . When this computer program is executed by a central processing unit (CPU) 901, the above-mentioned functions defined in the system of the present application are performed.

It should be noted that the computer-readable storage medium shown in the present disclosure may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. A computer readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to, electrical connections with one or more wires, portable computer diskettes, hard disks, random access memory (RAM), read-only memory (ROM), erasable Programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the above. In this application, a computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In this application, however, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, in which computer-readable program codes are carried. Such propagated data signals may take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing. A computer-readable signal medium may also be any computer-readable storage medium other than a computer-readable storage medium that can be sent, propagated, or transported for use by or in conjunction with an instruction execution system, apparatus, or device program of. Program code embodied on a computer readable storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wires, optical cables, RF, etc., or any suitable combination of the foregoing.

As another aspect, the present application also provides a computer-readable storage medium, which may be included in the device described in the above-mentioned embodiments; or exist independently without being assembled into the device middle. The above-mentioned computer-readable storage medium carries one or more programs, and when the above-mentioned one or more programs are executed by one of the devices, the functions that the device can realize include: the image acquisition device performs image acquisition on the target vehicle, and obtains an image of the target vehicle The image processing device performs image processing on the image of the target vehicle to obtain the vehicle characteristic information of the target vehicle; the fee deduction device determines the fee-related information and the deduction channel of the target vehicle according to the vehicle characteristic information; The toll deduction device determines the toll to be paid of the target vehicle according to the fee-related information; the toll deduction device automatically deducts tolls from the target vehicle through the toll deduction channel according to the toll to be paid; determines the target If the vehicle toll is deducted successfully, the target vehicle will pass through the non-inductive exit without toll pole.

According to an aspect of the present application there is provided a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instruction from the computer-readable storage medium, and the processor executes the computer instruction, so that the computer device executes the methods provided in various optional implementation manners of the foregoing embodiments.

Through the description of the above implementations, those skilled in the art can easily understand that the example implementations described here can be implemented by software, or by combining software with necessary hardware. Therefore, the technical solutions of the embodiments of the present disclosure can be embodied in the form of software products, which can be stored in a non-volatile storage medium (which can be CD-ROM, U disk, mobile hard disk, etc.), including several instruction A computing device (which may be a personal computer, a server, a mobile terminal, or a smart device, etc.) executes a method according to an embodiment of the present disclosure, such as one or more steps shown in FIG. 2 .

Other embodiments of the disclosure will be readily apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. The present disclosure is intended to cover any modification, use or adaptation of the present disclosure, which follow the general principles of the present disclosure and include common knowledge or conventional technical means in the technical field for which the present disclosure does not apply . The specification and examples are to be considered exemplary only, with the true scope and spirit of the disclosure indicated by the appended claims.

It should be understood that the present disclosure is not limited to the detailed structures, drawing methods or implementation methods shown herein, but on the contrary, the present disclosure is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims .

Claims (8)

1. A non-inductive passing method, characterized in that, comprising: The image acquisition device performs image acquisition on the target vehicle to obtain an image of the target vehicle; The image processing device performs image processing on the image of the target vehicle to obtain vehicle characteristic information of the target vehicle, and the vehicle characteristic information is obtained by the image acquisition device at a position at a first distance from the non-sensing exit of; The toll deduction device determines the toll-related information and toll-deduction channel of the target vehicle according to the vehicle characteristic information; The toll deduction device determines the toll to be paid of the target vehicle according to the toll-related information; The toll deduction device automatically deducts tolls from the target vehicle through the toll deduction channel according to the fees to be paid; If it is determined that the target vehicle has successfully deducted the toll, then the target vehicle passes through the non-inductive exit without toll pole; Determining that the payment of the target vehicle is unsuccessful, obtaining the position information, vehicle speed information, and headway information of the target vehicle at the first distance position; The position information at the position, the vehicle speed information, and the headway information are processed to determine the target position information of the target vehicle at the second distance position; The exit is a target lane at a second distance position, the second distance position being smaller than the first distance position; and the target vehicle is guided through a target guidance screen in at least one guidance screen on the target lane. 2. according to the described method of claim 1, it is characterized in that, described deduction channel comprises electronic non-stop toll ETC deduction channel and target deduction channel, and described vehicle characteristic information comprises non-inductive traffic information; Wherein, described deduction The toll device automatically deducts the toll of the target vehicle through the toll deduction channel according to the toll to be paid, including: The fee deduction device automatically deducts fees from the target vehicle through the electronic non-stop charging ETC fee deduction channel according to the fees to be paid; If the deduction of the target vehicle fails through the electronic non-stop charging ETC deduction channel, the deduction device determines the target deduction channel provided by the target vehicle according to the non-sensing traffic information; The toll deduction device automatically deducts tolls from the target vehicle through the target toll deduction channel according to the toll to be paid. 3. The method according to claim 1, wherein the target vehicle image comprises at least two vehicle images, and each target vehicle image is collected at a corresponding target moment; Vehicle speed information at a distance location, including: Acquiring image position information of the target vehicle in each target vehicle image; According to the image position information of the target vehicle in each target vehicle image, determine the actual position information of the target vehicle at each target moment; The vehicle speed information of the target vehicle at the first distance position is determined according to the actual position information of the target vehicle at each target moment. 4. The method according to claim 3, wherein the actual location information is used to describe the actual distance of the target vehicle from the non-inductive traffic exit; wherein, according to the actual distance of the target vehicle at each target moment Position information, determining vehicle speed information of the target vehicle at the first distance position, comprising: Acquiring lane information of the target vehicle in each target vehicle image; determining vehicle speed scalar information and vehicle speed vector information of the target vehicle at the first distance position according to the actual position information of the target vehicle at each target moment and the lane information; determining vehicle speed information of the target vehicle at the first distance position according to the vehicle speed scalar information and the vehicle speed vector information. 5. The method according to claim 4, wherein the target vehicle image comprises a first vehicle image and a second vehicle image, the target moment comprises a first target moment and a second target moment, and the first vehicle The image is collected at the first target time, and the second vehicle image is collected at the second target time; wherein, according to the actual position information and the lane information of the target vehicle at each target time, Determining the vehicle speed scalar information and vehicle speed vector information of the target vehicle at the first distance position, comprising: determining longitudinal movement information of the target vehicle according to actual position information of the target vehicle in the first vehicle image and actual position information of the target vehicle in the second vehicle image; determining lateral movement information of the target vehicle according to lane information of the target vehicle in the first vehicle image and lane information of the target vehicle in the second vehicle image; determining the first target time and the second target time determining the target time difference; determining the vehicle speed scalar information of the target vehicle at the first distance position according to the longitudinal movement information, the lateral movement information, and the target time difference; performing position interpolation for the target vehicle between the first vehicle image and the second vehicle image, to determine that the target vehicle has moved from the position of the target vehicle in the first vehicle image to the second vehicle image 2. The target moving track at the location of the target vehicle in the vehicle image; The vehicle speed vector information of the target vehicle at the first distance position is determined according to the target moving track. 6. A non-inductive traffic system, characterized in that it comprises: The image acquisition device is set at a position at the first distance from the non-inductive traffic exit, and is used for image acquisition of the target vehicle, obtaining an image of the target vehicle, and performing image processing on the image of the target vehicle to obtain vehicle characteristics of the target vehicle Information, the vehicle feature information is acquired by the image acquisition device at a position at a first distance from the non-inductive exit; The toll deduction device is set at a position at the first distance from the non-inductive passage exit, and is used to determine the toll-related information and the toll-deducting channel of the target vehicle according to the vehicle characteristic information; Determining the to-be-paid fee of the target vehicle; also being used to automatically deduct fees from the target vehicle through the deduction channel according to the to-be-paid fee; The non-inductive traffic control device is used to determine that the target vehicle has successfully deducted the toll, and then the target vehicle passes through the non-inductive traffic exit without toll poles; At least one guide screen, arranged between the non-sensing traffic exit and a position at a second distance from the non-sensing traffic exit, used to guide the non-sensing traffic control device when the target vehicle fails to pay the toll. the target vehicle to the target toll lane with a pole so that the target vehicle can pay the toll; The non-inductive traffic control device is also used to: when the target vehicle fails to pay the toll through the toll deduction device and the target vehicle does not pay the toll through the toll lane with a pole, according to the vehicle characteristic information, The target vehicle is included in the abnormal list, so that the target vehicle can make up the cost; Wherein, guiding the target vehicle to the target toll lane with a pole through at least one guide screen so that the target vehicle can pay the toll includes: Obtaining the position information, vehicle speed information, and headway information of the target vehicle at the first distance position; using a position prediction neural network to calculate the position information and vehicle speed information of the target vehicle at the first distance position 1. Processing the head distance information to determine the target position information of the target vehicle at the second distance position; determine the distance between the target vehicle and the non-inductive exit at the second distance position according to the target position information In the target lane, the second distance position is smaller than the first distance position; the target vehicle is guided through a target guidance screen in at least one guidance screen on the target lane. 7. An electronic device, characterized in that it comprises: storage; and A processor coupled to the memory, the processor being configured to execute the method of senseless passage according to any one of claims 1-5 based on instructions stored in the memory. 8. A computer-readable storage medium, on which a program is stored, and when the program is executed by a processor, the non-inductive passing method according to any one of claims 1-5 is realized.

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